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Real-Time Big Data Use Cases for Applications and Analytics

Duration: 60 minutes (including Q&A)

Hosted by Data Informed, sponsored by Splice Machine

To date, most Big Data and Hadoop use cases have focused on ETL and batch analytics. However, there is a new class of Big Data use cases emerging: powering real-time applications and analytics.

New SQL-on-Hadoop technologies enable real-time, interactive queries on Hadoop. In other cases, RDBMS technology is being married to the scale-out technology of Hadoop to enable reliable real-time updates.

In this webcast, Rich Reimer, head of product management for a Hadoop database will explain how real-time analytics and applications running on Hadoop can transform your business. Attend this webcast to:

• Increase your knowledge of SQL-on-Hadoop solutions and learn when it makes sense to use them for database replacements and data warehouse offloads
• Learn how you can speed up response times by 3x-10x while reducing costs by 75 percent compared with traditional RDBMSs
• Get expert advice to avoid common pitfalls when migrating from existing databases
• Learn best practices on how to support real-time applications on your Hadoop deployment

Join us as we discuss replacing traditional RDBMSs (e.g., Oracle and MySQL) struggling to scale for real-time applications, how Big Data scale-out technology enables new applications, and issues that arise when migrating from existing databases and how to avoid them.

Featured Speaker:

Rich Reimer, Vice President Product, Splice Machine

Rich has over 15 years of management experience in high-tech companies to Splice Machine. Before joining Splice Machine, Rich worked at Zynga as the Treasure Isle studio head, where he used petabytes of data from millions of daily users to optimize the business in real-time. Prior to Zynga, he was the COO and co-founder of a social media platform named Grouply. Before founding Grouply, Rich held executive positions at Siebel Systems, Blue Martini Software and Oracle Corporation as well as positions at General Electric and Bell Atlantic. Rich received his BSEE in Electrical Engineering from the University of Michigan, his MSEE in Electrical Engineering from Columbia University, and an MBA from Harvard Business School, where he was a Baker Scholar.

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